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Shastri Singh Doodnath

@shastrisinghdoodnath

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Actuarial programmer combining Python automation with analytics for faster, better decisions.

Trinidad and Tobago

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What I'm looking for

I’m looking for a role where I can build production-ready Python analytics and automation (loss reserving, forecasting, and dashboards), work with teams that value data quality, and grow by tackling challenging actuarial and business problems.

I’m an actuarial programmer who builds Python-driven automation to speed up loss reserving, testing, and analytics—cutting computation time by over 80% and preparation time by over 90%. I’ve also developed Python solutions for S&P 500 and TTCOMP return analyses, improving completion time by over 50%, and enhanced the SmartTables® Actuarial Calculator with fractional age calculations.

Alongside my actuarial work, I’ve delivered business intelligence and data science projects—creating Power BI dashboards, applying ML/AI (sales forecasting, sentiment analysis, and customer lifetime value prediction), and training teams in Python, Excel, Power Query, and Power BI. I bring a teaching-first mindset from managing academic support and leading training, and I’m motivated to turn complex data into practical, decision-ready outcomes.

Experience

Work history, roles, and key accomplishments

Current

Actuarial Programmer

Current

KR Services Limited

Sep 2025 - Present (8 months)

Built Python automation for loss reserving and hypothesis testing of claim year effects and LDF correlation, reducing computation time by over 80%. Automated data cleaning (Power Query) and return analyses (S&P 500 and TTCOMP), improving data preparation time by over 90% and completion time by over 50%.

Python Hypothesis Testing LDF Correlation Power Query Data Cleaning Return Analysis (S&P 500)Return Analysis (TTCOMP)

Senior Business Intelligence Analyst

SM Jaleel & Company Limited

Jun 2024 - Sep 2025 (1 year 3 months)

Supported business strategy execution by using analytics to drive revenue optimization, deal creation, and growth/cost opportunities. Developed Python ML/AI projects for sales forecasting, sentiment analysis, and customer lifetime value prediction, and built Power BI dashboards for sales, expenses, and performance analytics.

Business Intelligence Revenue Optimization Machine Learning Sales Forecasting Sentiment Analysis Python Microsoft Power BI Microsoft Excel Power Query

Instructor

The University of the West Indies

Sep 2021 - Aug 2024 (2 years 11 months)

Lectured undergraduate courses in mathematics, statistics, and actuarial science, and taught R, Python, and data science. Managed the Short Courses Unit and Math Help Centre, increasing student enrollment by over 75%, and led Math Fair events to raise overall impact by over 66% and 45%.

Actuarial Science R Python Data Science Break Even Analysis Sensitivity Analysis Educational Program Management